Sr Manager Global Inventory & Data Analytics

Corza Medical Tijuana; Tijuana; Presencial; MXN 1,829,000 - 2,196,000; Jornada completa

Descripción de la vacante

A healthcare technology company in Tijuana seeks a Sr. Manager, Global Inventory & Data Analytics to design global inventory strategies and enhance analytics for supply chain transparency. The role requires leadership in managing inventory performance across various sites while developing advanced data capabilities. Ideal candidates will have over 10 years of experience in supply chain, strong analytical skills, and expertise in ERP systems like D365. This strategic role is pivotal for operational excellence and data-driven decision-making.

Formación

• 10+ years of progressive experience in supply chain and inventory management, including data analytics and ERP implementation.
• Strong leadership experience managing teams across multiple sites.
• Proven success in driving global inventory optimization and reporting standardization.

Responsabilidades

• Design and execute global inventory strategies for performance management.
• Develop advanced data analytics capabilities for supply chain transparency.
• Lead a team of analysts in inventory management and supply chain analytics.

Conocimientos

Supply chain management

Data analytics

Leadership

ERP implementation

Advanced analytical skills

Educación

Bachelor’s degree in supply chain, business, engineering, or related field

Master’s degree preferred

Herramientas

D365

Excel

Power BI/Tableau

SQL

Descripción del empleo

TheSr. Manager, Global Inventory & Data Analytics is responsible for designing and executing global inventory strategies and developing a world-class analytics foundation that enables end-to-end supply chain visibility and performance.

This role owns inventory performance across global manufacturing sites and distribution centers. It drives operational excellence through the configuration, governance and continuous improvement of the ERP systems and related platforms, ensuring accurate planning parameters, safety stock policies, PFEP, decoupling points, and effective supply chain segmentation.

In addition, this leader develops advanced data analytics capabilities that enable supply chain transparency, decision-making, and performance management across planning, logistics, procurement, and operations. By embedding repeatable operating mechanics and KPI governance, the role transforms data into actionable insights that drives enterprise-wide action.

Inventory Strategy & Governance

Develop and govern global inventory policies, including safety stocks, segmentation logic (ABC, PFEP, DDMRP buffers), and replenishment models.

Supply Chain Analytics & Visibility

Build and operationalize advanced analytical capabilities to support the broader supply chain—including inventory, demand/supply planning, logistics, strategic sourcing, etc.

ERP Implementation & Data Management

Configure and maintain supply chain parameters in D365 and other ERP system (e.g., MOQ, LT, UOM, Incoterms, payment terms, price breaks).

Cross-Functional Performance Enablement

Support S&OP and Supply Chain processes by connecting inventory insights with demand plans, capacity profiles, and working capital objectives

Leadership & Continuous Improvement

• Lead and develop a team of analysts in both inventory management and supply chain analytics.
• Champion the evolution toward a digitally enabled, insight-led supply chain culture.
• Drive continuous improvement using lean methods, structured problem-solving, and technology enablement.
• Bachelor’s degree in supply chain, business, engineering, or related field; Master’s degree preferred.
• 10+ years of progressive experience in supply chain, inventory management, including data analytics and ERP implementation.
• Strong leadership experience managing teams across multiple sites or geographies.
• Proven success driving global inventory optimization and reporting standardization.
• Deep expertise in D365 or equivalent ERP systems, with a proven record of driving process improvements.
• Advanced analytical and modeling skills; proficient in Excel, Power BI/Tableau, SQL, or similar tools.